Generative AI Engineer Role
Job Description
This role involves designing and implementing LLM-powered applications using Langchain and RAG frameworks. The successful candidate will leverage prompt engineering and agent-based models to build intelligent, responsive systems.
Responsibilities
- Design and implement LLM-powered applications using Langchain and RAG frameworks.
- Leverage prompt engineering and agent-based models.
- Collaborate with engineers to define and execute the AI technical roadmap.
- Convert business challenges into scalable AI solutions.
Requirements
- Proficiency in Python (advanced level).
- Hands-on experience with Langchain, RAG pipelines, and LLM customization.
- Proficiency in SQL.
- Familiarity with cloud ecosystems such as AWS, GCP, or Azure.
Benefits
- Collaborate with world-class AI experts.
- Fully remote with high autonomy and impact.
- Compensation aligned with global standards.
Preferred Qualifications
- At least 1 year of experience in GenAI or LLM development.
- Total experience of 7-12 years in software development or ML engineering.
- Experience on end-to-end AI product deployment, MLOps, or production-grade ML systems.
- Experience working on cross-functional teams or with external stakeholders.
Job Highlights
Details to be added here.